Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain.

ABSTRACT: Lesion inference analysis is a fundamental approach for characterizing the causal contributions of neural elements to brain function. This approach has gained new prominence through the arrival of modern perturbation techniques with unprecedented levels of spatiotemporal precision. While inferences drawn from brain perturbations are conceptually powerful, they face methodological difficulties. Particularly, they are challenged to disentangle the true causal contributions of the involved elements, since often functions arise from coalitions of distributed, interacting elements, and localized perturbations have unknown global consequences. To elucidate these limitations, we systematically and exhaustively lesioned a small artificial neural network (ANN) playing a classic arcade game. We dete

SUBMITTER: Fakhar K 

PROVIDER: S-EPMC9246164 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature